Lead Consultant, Data Architecture

🕒 May 13

🇩🇪 Germany – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 53%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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FELD M

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

Consulting • Marketing

FELD M is an analytics and strategy consulting firm that focuses on data-driven marketing in an increasingly digitalized world. They collaborate with clients to develop sustainable communication, business, and product solutions aimed at client acquisition and retention. Their interdisciplinary team combines expertise in various fields, ensuring holistic solutions to complex marketing questions. FELD M emphasizes user-oriented solutions, technical and legal considerations, and maintaining a budgetary framework for their clients. They prioritize a positive work culture, offering flexible working arrangements and promoting employee happiness.

📋 Description

• You advise clients up to C-level and translate business objectives into scalable data solutions • You design and evaluate modern data architectures for analytical (business intelligence, forecasting, etc.) as well as operational (automation, recommendation systems, etc.) applications, using both generative and non-generative AI • You take full ownership in projects — from architectural decisions to implementation • As a pre-sales consultant you support our Data Product team and actively shape new projects and client relationships • You actively contribute to the development of our Data Product team and further evolve our solutions and offerings • You mentor team members and share your knowledge

🎯 Requirements

• Broad experience in the data domain and deep expertise in data architectures that enable and scale AI/ML applications • Confident working knowledge of modern data stacks (e.g., Snowflake, BigQuery, Databricks, Kafka, Iceberg, LangChain) • Ability to elicit requirements through workshops and explain complex technical topics clearly • Structured, solution-oriented thinker with an ownership mindset • German (fluent) and strong English skills • Additional experience in data science and enthusiasm for giving presentations and creating content

🏖️ Benefits

• Exciting projects across the entire data value chain — from strategy to implementation • Collaborative, interdisciplinary work with strong team spirit and plenty of room for initiative • Shared leadership: we distribute leadership responsibilities dynamically and in a decentralized way to ensure we make the best decisions • Professional development through learning, coaching, and exposure to different areas • Flexible working hours and location